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Corrigendum to “Technical analysis of blending fusel to reduce carbon emission and pollution emission of diesel engine” [Fuel Processing Technology, 241(2023): 107560/ISSN 0378-3820]

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Fuel Processing Technology 2024年 254卷

作者： Jia Liu Juntong Dong Xiaodan Li Teng Xu Zhenguo Li Jeffrey Dankwa Ampah Mubasher Ikram Shihai Zhang Chao Jin Zhenlong Geng Tianyun Sun Haifeng Liu Vehicle Emission Control Center Chinese Research Academy of Environmental Science 100012 Bejing China State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation Chinese Research Academy of Environmental Science 100012 Beijing China School of Environmental Science and Engineering Tianjin University 300072 Tianjin China China Automobile Technology &Research Center Co. Ltd. 300300 Tianjin China State Key Laboratory of Engines Tianjin University 300072 Tianjin China

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emission Characteristics of Lead and Particulate Matter from Lead and Zinc Smelters in China

SSRN

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SSRN 2024年

作者： Zhang, Jiawei Sun, Xiaohui Wu, Qingru Deng, Jianguo Li, Zhijian Wen, Minneng Xu, Liwen Gu, Yongzheng Han, Tao Feng, Lei Duan, Lei State Key Joint Laboratory of Environmental Simulation and Pollution Control School of the Environment Tsinghua University Beijing100084 China Department of Aeronautics Imperial College London South Kensington Campus LondonSW7 2AZ United Kingdom State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing100084 China Guodian Power Development Co. Ltd. Beijing100101 China CHN ENERGY New Energy Technology Research Institute Co. Ltd. Beijing102209 China

Understanding the emission characteristics of particulate matter and associated heavy metals is essential for assessing their environmental and health impacts post-emission, as well as for identifying potential control technologies for the sources. Here, a field test was conducted at two advanced smelting plants equipped with comprehensive air pollution control devices. The particles emitted from different stages of lead and zinc smelting exhibited bi-modal size distributions, with peaks observed in PM0.1-1.0 and PM2.5-10, respectively. Particulate-bound Pb was identified as the predominant Pb species in the flue gas, primarily originating from ore crushing. Consequently, over 80% of Pb was emitted in the form of coarse particles, a marked contrast to coal-fired power plants where Pb concentrated on fine particles. High efficiencies in Pb removal were achieved by dust collectors, flue gas purification systems, and acid plants with desulfurization systems, resulting in overall Pb emission factors in lead and zinc smelting were only 89.3 and 2.60 g t-1 (of metal production), respectively. Importantly, the contribution of gas-phase Pb, which accounts for approximately 16.6% of total emissions, must not be neglected in future emission monitoring and control efforts. © 2024, The Authors. All rights reserved.

关键词： Fossil fuel power plants

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Unexpected Trade-Offs of Fossil Fuel Reduction on PM2.5and O3Pollution Regulation Can Be Offset by Synergistic control of VOCs Source

ACS ES&T Air

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ACS ES&T Air 2024年第7期1卷 660-669页

作者： Guoliang Shi Haofei Yu Jie Li Zhang Zhang Feng Wang Junbo Huang Yue Li Yulong Yan Yinchang Feng Armistead G. Russell State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control Tianjin Key Laboratory of Urban Transport Emission Research College of Environmental Science and Engineering Nankai University Tianjin 300350 People’s Republic of China China Meteorological Administration-Nankai University (CMA-NKU) Cooperative Laboratory for Atmospheric Environment-Health Research College of Environmental Science and Engineering Nankai University Tianjin 300350 China Department of Civil Environmental and Construction Engineering University of Central Florida Orlando Florida 32816 United States School of Environmental Science and Safety Engineering Tianjin University of Technology Tianjin 300384 China College of Computer Science Nankai University Tianjin 300350 China School of Environment Beijing Jiaotong University Beijing 100044 China School of Civil and Environmental Engineering Georgia Institute of Technology Atlanta Georgia 30332-0512 United States

Particulate matter (PM2.5) and ozone (O3) are typical air pollutants that require effective simultaneous control. Current PM2.5and O3co-mitigation strategies are primarily focused on the emission optimization of nitrogen oxides (NOx) and volatile organic compounds (VOCs); however, fundamental mechanisms underlying these co-mitigation efforts remain largely unanswered. Here, utilizing an atmospheric chemistry model combined with machine learning technique, we extend the scope of coordinated control efforts beyond just precursors by identifying and controlling common sources of PM2.5and O3, which are fossil fuel combustion sources including coal combustion, industrial emission, and vehicle exhausts. We conducted further sensitivity simulations and found that reducing fossil fuel combustion emissions significantly lowers PM2.5levels but has trade-off effects on O3control, which is attributable to the suppressed aerosol sink of hydroperoxyl radicals and the enhanced atmospheric oxidizing capacity. Furthermore, this unexpected enhancement of O3can be offset by synergistically controlling certain other specific VOCs sources. For example, during days with high levels of both PM2.5and O3pollution, a 40% reduction of VOCs sources at the corresponding level of coal combustion reduction is predicted to lead to an ∼13 ppb (∼14%) reduction in O3concentration. Our results provide the scientific evidence and theoretical framework for mitigating PM2.5and O3pollution through joint control of fossil fuel combustion sources and specific VOCs sources.

关键词： environmental pollution Fossil fuels Particulate matter Redox reactions Volatile organic compounds

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Heavy-Duty Diesel Trucks on Highways in Beijing-Tianjin-Hebei: Constant Challenge in Pollution control

SSRN

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SSRN 2024年

作者： Han, Yingying Wang, Chang Zhu, Yixue Wu, Rui Xue, Yifeng Zhang, Xiang Wang, Weiwei Cui, Yangyang Han, Jinxiu Shi, Zongbo Wang, Xiuyan Jin, Taosheng Tianjin Key Laboratory of Urban Transport Emission Research State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control College of Environmental Science and Engineering Nankai University Tianjin300350 China Advanced Institute of Natural Sciences Beijing Normal University Zhuhai519087 China School of Environment Beijing Normal University Beijing100875 China Laboratory of Transport Pollution Control and Monitoring Technology Transport Planning and Research Institute Ministry of Transport Beijing100028 China National Engineering Research Center of Urban Environmental Pollution Control Beijing Municipal Research Institute of Eco-Environmental Protection Beijing100037 China Sustainable Development Research Institute for Economy and Society of Beijing School of Management and Economics Beijing Institute of Technology Beijing100081 China School of Geography Earth and Environmental Sciences The University of Birmingham BirminghamB15 2TT United Kingdom

Heavy-duty diesel trucks (HDDTs) contributed significantly to on-road air pollution. This study measured the traffic flow of HDDTs on seven national highways in Beijing-Tianjin-Hebei (BTH) region to estimate air pollutants of HDDTs from 2016 to 2020. The emission factors are corrected by the International vehicle emissions (IVE) model, traffic flow, and road length. Compared with 2016, traffic flow in 2019 increased by 41%, carbon monoxide (CO) and nitrogen oxide (NOx) emissions increased by 0.3% and 4%, while hydrocarbons (HC) and particulate matter (PM) emissions decreased by about 26% and 18%. The COVID-19 lockdowns did not cause significant annual changes in traffic flow and pollution emissions in 2020 compared with 2019, but there were substantial monthly variations in pollutant emissions. Our study showed that although control measures were implemented during the "Thirteenth Five-Year Plan" period, the substantial increase in regional HDDT transport posed a continuing challenge in reducing road traffic emissions. © 2024, The Authors. All rights reserved.

关键词： COVID-19

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Effects of the constructed wetland on dissolved organic matter properties in the drainage channel of domestic sewage treatment plant in winter

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IOP Conference Series: Earth and environmental Science 2021年第1期634卷

作者： Hanxia Yu Xiao Luo Lina Ma Wenbing Tan School of Geographical Sciences Fujian Normal University Fuzhou 350007 China State Key Laboratory of Environmental Criteria and Risk Assessment and State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental Sciences Beijing 100012 China School of Environmental Science and Engineering Hebei University of Science and Technology Shijiazhuang 050018 China

As a low investment and low energy consumption wastewater treatment technology, the constructed wetland has been gradually accepted by the world. However, there is still a lack of systematic assessment on the impact of the constructed wetland on dissolved organic matter (DOM) properties in the drainage channel of domestic sewage treatment plant in winter. In this study, 3D excitation-emission matrix fluorescence spectroscopy and ultraviolet spectroscopy were combined to reveal the evolution process of DOM properties in the constructed wetland in winter. The results showed that DOC contributed more than 55% of COD in the drainage channels of Shijiazhuang domestic sewage treatment plant in winter, but the COD was significantly decreased after treated by the constructed wetland, which was mainly caused by the more extensive degradation of elements N, H, S and P in DOM. In addition, water DOM in the constructed wetland in winter was mainly contributed by microorganisms, and humus-like components in water DOM were more easily degraded than protein-like components. And humus-like components gradually transformed into protein-like components in the degradation process, and fulvic-like and humic-like components had the same decomposition fate in the constructed wetland in winter.

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Correction to "emission Measurements on a Large Sample of Heavy-Duty Diesel Trucks in China by Using Mobile Plume Chasing"

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environmental science & technology 2023年第45期57卷 17659页

作者： Hui Wang Shaojun Zhang Xiaomeng Wu Yifan Wen Zhenhua Li Ye Wu School of Environment State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua University Beijing 100084 P. R. China. State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 P. R. China. Beijing Laboratory of Environmental Frontier Technologies School of Environment Tsinghua University Beijing 100084 China.

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Evaluation of low emission zone policy on vehicle emission reduction in Beijing, China

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IOP Conference Series: Earth and environmental Science 2018年第5期121卷

作者： Yi Zhang Michel Andre Yao Liu Lin Wu Boyu Jing Hongjun Mao College of Environmental Science & Engineering Nankai University (NKU) Tianjin China Centre for Urban Transport Emission Research Nankai University (NKU) Tianjin China Transport and Environment Laboratory French institute of science and technology for transport spatial planning development and networks (IFSTTAR) Lyon France State Environmental Protection Key Laboratory of Odor Pollution Control Tianjin China.

This study evaluates the effect of the LEZ in Beijing from the perspective of vehicle emission reduction based on developing an urban street-scale vehicle emission inventory on the basis of the local emission factors and the dynamic or static traffic data via a bottom-up approach. In 2016, before the implementation of the LEZ, the vehicle emission of CO, HC, NOx, and PM were 49.01×104, 6.31×104, 5.96×104, and 0.12×104 t, respectively. According to the simulation results, the LEZ policy would have an obviously positive effect on emission reduction, especially for CO and HC. In order to realize the long-term mitigation target, it is necessary to update and amend the detailed terms of the LEZ policy regularly according to the traffic development and vehicle emission change.

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Ensemble source apportionment of particulate matter and volatile organic compounds and quantifying ensemble source impacts on ozone

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Journal of environmental Sciences 2024年

作者： Weiqing Liang Zhenyu Wang Dongheng Zhao Jinxing Liu Tong Ma Yinchang Feng Guoliang Shi State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control Tianjin Key Laboratory of Urban Transport Emission Research College of Environmental Science and Engineering Nankai University Tianjin 300350 China CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER) College of Environmental Science and Engineering Nankai University Tianjin 300350 China State Key Laboratory of Precision Measuring Technology and Instruments Tianjin Environmental Monitoring Technology Enterprise Key Laboratory School of Precision Instrument and Optoelectronics Engineering Tianjin University Tianjin 300072 China Zhigan Technology (Tianjin) Co. Ltd Tianjin 300072 China Chinese Research Academy of Environmental Sciences Beijing 100012 China

Serious fine particulate matter (PM 2.5 ) pollution and rapidly increasing of ground-level ozone (O 3 ) concentrations are concern issues in China. To achieve the comprehensive control of PM 2.5 O 3 composite air pollution, exploring the common sources of PM 2.5 and VOCs is essential. However, previous researches most carried out either PM 2.5 or VOCs source appointment. In this study, we applied the ensemble source apportionment method to explore the impacts of common sources on PM 2.5 -VOCs. Subsequently, we obtained the ensemble source impacts on O 3 combining the extracted VOCs source profile and ozone formation potential. We found that the focus of environmental management and source control should be varied accordingly for different pollutants. vehicle emission was the largest contributor (41 %) to PM 2.5 -VOCs, while industrial emission was the main common source (51 %) to O 3 . The result showed that the O 3 production rate is not only related to the VOCs emission, but also to the reactivity of VOCs. In addition, sensitivity tests revealed that temperature was the main factor affecting O 3 formation. The study provides a framework to explore the common sources impact on PM 2.5 and VOCs, which is benefit to address both PM 2.5 and O 3 mitigations.

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Effect of adoption of electric vehicles on public health and air pollution in China: a modelling study

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The Lancet Planetary Health 2021年 5卷 S8-S8页

作者： Daniel E Horton Jordan L Schnell Daniel R Peters David C Wong Xi Lu Hao Gao Hongliang Zhang Patrick L Kinney Department of Earth and Planetary Sciences and Institute for Sustainability and Energy Northwestern University Evanston IL USA Cooperative Institute for Research in Environmental Sciences at the University of Colorado Boulder National Oceanic and Atmospheric Administration Global Systems Laboratory Boulder CO USA Program in Environmental Sciences Northwestern University Evanston IL USA Environmental Defense Fund Austin TX USA US Environmental Protection Agency Research Triangle Park NC USA School of Environment State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua University Beijing China Beijing China Department of Earth System Science University of California Irvine Irvine CA USA Department of Environmental Science and Engineering Fudan University Shanghai China Department of Environmental Health Boston University School of Public Health Boston MA USA

Background Adoption of electric vehicles has the potential to reduce air pollutant and greenhouse gas emissions, hence China has implemented policies incentivising use of electric vehicles. However, much is unknown about the potential air quality and public health benefits of electric vehicles, including optimal vehicle type prioritisation and the vehicles' ability to reduce acute health impacts due to extreme air quality events. We aimed to assess the potential climate and acute public health benefits of use of electric vehicles during an extreme winter air pollution event. Methods In this modelling study, we used the Weather Research Forecast and Community Multiscale Air Quality Modeling System air quality model to simulate the interplay between weather and atmospheric chemistry. We used this model to examine potential co-benefits of electric vehicle adoption during an extreme pollution episode in China. We simulated heavy-duty and light-duty electric vehicle adoption scenarios, in which 40% of the population adopted a heavy-duty or light-duty passenger electric vehicle, re-mapped battery power needs to energy generation facilities, and characterised differences in public health outcomes using China-specific concentration-response functions. Findings We found that widespread adoption of heavy-duty electric vehicles would reduces nitric oxide and fine particulate matter resulting in 562 (95% CI 410–723) fewer premature acute deaths than the non-electrified baseline scenario. However, widespread adoption of heavy-duty electric vehicles does not reduce carbon dioxide emissions without the addition of emission-free electricity generation. By contrast, widespread adoption of light-duty electric vehicles robustly reduces greenhouse gas emissions, but results in lesser air quality improvements and fewer premature deaths avoided (145 [95% CI 38–333]) than the heavy-duty scenario. Economic effects of human health endpoints and carbon dioxide reductions for adoption of ligh

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